Title :
APR: A Trust Model Based on Perceived Risk for P2P E-commerce System
Author :
Tian, Junfeng ; Liu, Qian
Author_Institution :
Math. & Comput. Coll., Hebei Univ., Baoding, China
Abstract :
To solve security problems of E-commerce system, this paper proposed a new trust model APR which is based on anticipative perceived risk. The concept of perceived risk was introduced into APR, many kinds of trust factor were taken to calculate the trust value among nodes, and an origination method was provided to integrate direct trust and recommendation trust. Comparing with other trust models, APR guaranteed the valuation accuracy of trust model and sharpened the anti-risk ability of nodes.
Keywords :
electronic commerce; peer-to-peer computing; risk management; security of data; peer-to-peer e-commerce system; perceived risk assessment; security problem; trust model; Computer science; Computer security; Cost accounting; Educational institutions; History; Information security; Mathematical model; Mathematics; Peer to peer computing; Resists; P2P system; e-commerce; perceived risk; trust; trust model;
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
DOI :
10.1109/ISCSCT.2008.195
